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this project, we will develop neural diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also
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a focus on ecosystemic interventions and collaboration. Experience with literature reviews and qualitative methods. Ability to work independently, think analytically, and approach tasks systematically
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testing. Experience in advanced BMS development, control strategies, and system integration is an advantage. You are expected to think creatively, identify innovation opportunities, and enjoy working
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-year extension may be possible. Job description Your key responsibilities include research related to semantic representation and reasoning on time-series data; designing and implementing Edge AI
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friendly and interdisciplinary environment experience with designing and running face-to-face conversation studies in dyads or groups using e.g., collaborative tasks experience with analyzing or modelling
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functionality in vivo in animal models (rodents). The required qualifications for the positions are: Documented experience with simulation software based on finite element methods (e.g. COMSOL) and ray tracing
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the interdisciplinary group. Together, we aim to push the boundaries of digital building technology and material science! Responsibilities Your overall focus will be to conduct experiments on exploring the evolution
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environment that encourages innovation and creativity. Opportunities for professional growth and leadership. Access to state-of-the-art technology and resources. Job description SDU Robotics currently has
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analysis Validation of turbine response models against measurements Inflow and wake modelling Wind turbine controller design Aero- and hydro-dynamic modelling Structural dynamics, beam models and cross